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CVPR
1999
IEEE
14 years 8 months ago
Time-Series Classification Using Mixed-State Dynamic Bayesian Networks
We present a novel mixed-state dynamic Bayesian network (DBN) framework for modeling and classifying timeseries data such as object trajectories. A hidden Markov model (HMM) of di...
Vladimir Pavlovic, Brendan J. Frey, Thomas S. Huan...
KES
1998
Springer
13 years 10 months ago
Attractor systems and analog computation
Attractor systems are useful in neurodynamics,mainly in the modelingof associative memory. Thispaper presentsa complexity theory for continuous phase space dynamical systems with ...
Hava T. Siegelmann, Shmuel Fishman
ARTS
1999
Springer
13 years 10 months ago
Verifying Progress in Timed Systems
In this paper we study the issue of progress for distributed timed systems modeled as the parallel composition of timed automata. We clarify the requirements of discrete progress (...
Stavros Tripakis
EUROMICRO
2000
IEEE
13 years 10 months ago
Continuous Discrete-Event Simulation of a Continuous-Media Server I/O Subsystem
When designing computer systems, simulation tools are used to imitate a real or proposed system. Complex, dynamic systems can be simulated without the cost and time constraints in...
Michael Weeks, Chris Bailey, Reza Sotudeh
CDC
2009
IEEE
121views Control Systems» more  CDC 2009»
13 years 11 months ago
Piecewise-linear constrained control for timed continuous Petri nets
— Timed Continuous Petri Net (TCPN) systems are piecewise linear models with input constraints that can approximate the dynamical behavior of a class of timed discrete event syst...
Carlos Renato Vázquez, Manuel Silva